Renjun Ma
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- Air Quality and Health Impacts 7
- Climate Change and Health Impacts 5
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 3
- Environmental Engineering top 5%
- Transportation top 5%
- Urban Transport and Accessibility 4
- Speech and Hearing top 5%
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- Statistical Methods and Bayesian Inference 14
- Statistical Methods and Inference 5
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- Bayesian Methods and Mixture Models 8
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- Economic and Environmental Valuation 3
- Co-authors
- Daniel KrewskiMichael JerrettRichard T. BurnettC. Arden PopeK. Bruce NewboldGeorge D. ThurstonMichael J. ThunYuanli Shi
- Journals
- Environmental and Ecological Statistics (3 papers)Epidemiology (3 papers)Environmental Health Perspectives (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Renjun Ma
28 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Health, Toxicology and Mutagenesis 860
- Modeling and Simulation 99
- Environmental Engineering 293
- Transportation 125
- Speech and Hearing 119
Countries citing papers authored by Renjun Ma
This map shows the geographic impact of Renjun Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Renjun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renjun Ma more than expected).
Fields of papers citing papers by Renjun Ma
This network shows the impact of papers produced by Renjun Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Renjun Ma. The network helps show where Renjun Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Renjun Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 118 | |
| 6 | 2019 | 3 | |
| 7 | 2018 | 7 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 1 | |
| 11 | 2012 | 6 | |
| 12 | 2011 | 8 | |
| 13 | 2009 | 16 | |
| 14 | 2009 | 16 | |
| 15 | 2009 | 6 | |
| 16 | 2007 | 19 | |
| 17 | Spatial Analysis of Air Pollution and Mortality in Los Angelesbreakdown → | 2005 | 760 |
| 18 | 2004 | 2 | |
| 19 | 2003 | 22 | |
| 20 | 2001 | 58 |
About Renjun Ma
Renjun Ma is a scholar working on Statistics and Probability, Modeling and Simulation, Transportation, Health, Toxicology and Mutagenesis and Economics and Econometrics, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (14 papers), Bayesian Methods and Mixture Models (8 papers), Air Quality and Health Impacts (7 papers), Statistical Methods and Inference (5 papers), Climate Change and Health Impacts (5 papers), Urban Transport and Accessibility (4 papers), COVID-19 epidemiological studies (3 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (860 citations), Modeling and Simulation (99 citations), Environmental Engineering (293 citations), Transportation (125 citations) and Speech and Hearing (119 citations). Renjun Ma has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Daniel Krewski, Michael Jerrett, Richard T. Burnett, C. Arden Pope, K. Bruce Newbold, George D. Thurston, Michael J. Thun, Yuanli Shi, Norm Finkelstein and Eugenia E. Calle. Their work appears in journals such as Environmental and Ecological Statistics, Epidemiology, Environmental Health Perspectives, Statistics in Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.